VPTQ Mistral Large Instruct 2407 without finetune
Collection
arxiv.org/abs/2409.17066, VPTQ Mistral Large Instruct 2407 without finetune
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8 items
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Updated
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1
Disclaimer:
The model is reproduced based on the paper VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models github and arXiv
The model itself is sourced from a community release.
It is intended only for experimental purposes.
Users are responsible for any consequences arising from the use of this model.
Note:
The PPL test results are for reference only and were collected using GPTQ testing script.
{
"ctx_2048": {
"wikitext2": 3.484158515930176,
"c4": 6.430262088775635,
"c4-new": 7.119498252868652
},
"ctx_4096": {
"wikitext2": 3.2934534549713135,
"c4": 6.052966594696045,
"c4-new": 6.734064102172852
},
"ctx_8192": {
"wikitext2": 3.1873176097869873,
"c4": 4.763023376464844,
"c4-new": 6.607855796813965
}
}
Base model
mistralai/Mistral-Large-Instruct-2407